# DeepSeek vs Pump

DeepSeek records 372,761,591 monthly visits with +4.3% month-over-month growth and Freemium pricing. Pump records 71,062 monthly visits with -7.1% growth and Free pricing.

| Metric | [DeepSeek](https://openaitools.app/tool/deepseek) | [Pump](https://openaitools.app/tool/pump) |
| :--- | :--- | :--- |
| Website URL | https://www.deepseek.com | https://www.pump.co |
| Categories | Large Language Models (LLMs), Open Source AI Models, AI API, AI Chatbot | AI For Finance, AI Accounting, AI Assistant |
| Pricing Model | Freemium | Free |
| Monthly Visits | 372,761,591 | 71,062 |
| MoM Growth Rate | +4.3% | -7.1% |
| Primary Market | China | United States |
| Direct Visits | 291,585,405 | 38,385 |
| Review Score | 4.8 | 4.4 |
| Saved Count | 44 | 2 |
| Supported Platforms | Website | Website |

## DeepSeek

DeepSeek (Hangzhou DeepSeek Artificial Intelligence Co., Ltd.) is a frontier AI research organization that disrupted the global LLM market by pairing open-weight transparency with breakthrough Mixture-of-Experts (MoE) and reinforcement-learning reasoning efficiency. Following the landmark releases of DeepSeek-V3 and the peer-reviewed DeepSeek-R1 reasoning model, DeepSeek introduced the DeepSeek-V4 generation in 2026—featuring a hybrid attention architecture and a native 1-million-token context window across DeepSeek-V4-Pro (1.6T total parameters, 49B active per token) and DeepSeek-V4.1-Flash (284B total parameters, 13B active per token).

Users can interact with DeepSeek in three ways: completely free through the consumer web portal (chat.deepseek.com) and mobile apps with one-click toggles for deep thinking and live web search; via DeepSeek's hosted, OpenAI-compatible developer API; or by self-hosting DeepSeek's open-weight checkpoints (including V3, R1, Prover-V2, and distilled Qwen/Llama variants) on private infrastructure. The models excel at competitive mathematics, algorithm design, repository-level software engineering, and structured data extraction, with automatic context caching on the API that slashes repeated prompt costs by over 95%.

In late 2026, DeepSeek remains the price-performance benchmark for developers and automation workflows. While the consumer chat interface remains free without a mandatory $20/month subscription tier, the developer API transitioned in late 2026 to two primary endpoints—`deepseek-flash` and `deepseek-v4-pro`—with time-of-day pricing. Off-peak API calls cost just $0.15 per million input tokens ($0.003 on cache hits) and $0.60 per million output tokens on Flash, and $0.66 input / $1.98 output on V4-Pro, making it a fraction of the cost of comparable Western frontier models.

**Pricing & Plans:** Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x).

- **DeepSeek-V4 Hybrid Attention & 1M Context:** Leverages a sparse Mixture-of-Experts architecture (49B active parameters out of 1.6T on V4-Pro) to process up to 1 million tokens with minimal latency and memory overhead.
- **Transparent Chain-of-Thought Reasoning:** Pioneered by DeepSeek-R1 and integrated into V3.2 and V4 thinking modes, exposing step-by-step self-verification for complex math, logic, and code debugging.
- **Automatic Context Caching & Off-Peak API Pricing:** Drops input token costs to $0.003/1M on Flash and $0.022/1M on V4-Pro for cache hits, with 50% lower rates during off-peak UTC hours.
- **Free Consumer Web & Mobile Assistant:** Provides free access at chat.deepseek.com and on iOS/Android with document uploads, reasoning mode, and web search without paywalling core models.
- **Open-Weight Ecosystem & Self-Hosting Freedom:** Offers open weights for DeepSeek-V3, R1, Distill variants, and Prover models on Hugging Face and GitHub so enterprises can deploy within air-gapped environments.

**Strengths:** Completely free consumer web and mobile app with deep reasoning and web search included; Ultra-low API token rates ($0.15/$0.60 on Flash, $0.66/$1.98 on V4-Pro off-peak) with up to 98% savings on cached inputs; Drop-in OpenAI API compatibility makes switching or routing between models effortless; Strong open-weight lineage allows teams to self-host or fine-tune models without vendor lock-in

**Limitations:** Hosted API and web app store data on servers in China, prompting compliance restrictions for some Western enterprises and government agencies; Peak-hour API pricing (01:00–04:00 and 06:00–10:00 UTC on weekdays) doubles per-token costs compared to off-peak rates; Lacks native voice mode, video generation, and productivity suite integrations offered by ChatGPT and Google Gemini

[Profile (Markdown)](https://openaitools.app/tool/deepseek.md)

## Pump

Pump attacks cloud cost from the purchasing side rather than the engineering side. Instead of asking you to re-architect workloads, it aggregates demand across roughly 2,500+ teams and buys reserved capacity in bulk, then resells that capacity at pooled rates. Because the commitment risk sits with Pump, teams can get the benefit of long-term reserved pricing without being locked into multi-year contracts themselves, and if usage drops, that problem stays with Pump rather than with the customer.

The platform covers more than raw compute commitments. Model routing sends each AI request to the cheapest model that still clears a quality bar you set yourself, with fallback routing when a provider goes down, so inference costs fall without degrading output. Alongside that, Pump provides a spend visibility layer: unified budgets that span both cloud and AI bills, hourly anomaly detection that traces unusual spend to a resource and an owner, and tag allocation that attributes costs down to the team and even the token, suggesting owners for untagged spend.

Onboarding is designed to be light. You connect cloud accounts with read-only access, get a report of potential savings, and join the pool without migrating any infrastructure. Pump states the process takes about two minutes to connect and around 15 minutes to receive a full savings plan, and enterprise options exist for teams that want managed savings while keeping their own accounts or API keys.

**Pricing & Plans:** Free to use for most teams. Pump states that providers and partners pay, thanks to its group-buying model, and offers custom enterprise pricing for managed savings on your own cloud accounts or model API keys. Check the pricing page for current details.

- **Pooled cloud commitments:** Pump buys reserved capacity across its customer base and passes the rate to you, with usage-drop risk staying on Pump's side rather than yours.
- **AI model routing:** Set a quality bar once and each request routes to the cheapest model that clears it, with fallback chains so requests are not dropped when a provider is unavailable.
- **Unified budgets:** One budget per team covers cloud and AI spend together, with Slack warnings before limits are hit and the cost driver named.
- **Hourly anomaly detection:** Spend is checked every hour and anything unusual is traced back to the specific resource and the person responsible.
- **Cost allocation by tag:** Attribute spend down to team and token level, with suggested owners for untagged usage so allocation is not a quarterly project.

**Strengths:** Free to use, with providers and partners covering the cost; Read-only onboarding with no infrastructure migration required; Pooled commitments remove the lock-in risk of buying reserved capacity yourself; Model routing lets AI inference bills fall without lowering your quality bar

**Limitations:** Savings depend on your usage profile, so the benefit is smaller for teams with low or highly variable spend; Value comes from scale, which can make it less compelling for very small accounts; As a third-party intermediary it introduces an extra party into your cloud purchasing relationship

[Profile (Markdown)](https://openaitools.app/tool/pump.md)

## Frequently Asked Questions

### How do DeepSeek and Pump compare in monthly traffic?

DeepSeek has 372,761,591 monthly visits, while Pump has 71,062. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepSeek has a month-over-month growth rate of +4.3%; Pump has -7.1%.

### How does pricing compare?

DeepSeek: Freemium. Free web and mobile chat app at chat.deepseek.com; pay-as-you-go OpenAI-compatible API with off-peak rates at $0.15/1M input ($0.003 cache hit) and $0.60/1M output for deepseek-flash (V4.1-Flash), and $0.66/1M input ($0.022 cache hit) and $1.98/1M output for deepseek-v4-pro (peak weekday UTC hours bill at 2x). Pump: Free. Free to use for most teams. Pump states that providers and partners pay, thanks to its group-buying model, and offers custom enterprise pricing for managed savings on your own cloud accounts or model API keys. Check the pricing page for current details.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | Provides stronger multi-modal reasoning and agentic tools, but lacks DeepSeek's ultra-low-cost API pricing. | [.md](https://openaitools.app/tool/chatgpt-4.md) |
| 2 | [Google Gemini](https://openaitools.app/tool/gemini-gemini-advanced) | 2,637,398,242 | -0.1% | Freemium | Offers an enormous context window and deep Google ecosystem integration, but feels less specialized for pure reasoning tasks. | [.md](https://openaitools.app/tool/gemini-gemini-advanced.md) |
| 3 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Delivers superior long-form coding artifacts and nuanced writing, but lacks DeepSeek's specialized open-weight reasoning models. | [.md](https://openaitools.app/tool/claude-2.md) |
| 4 | [Grok](https://openaitools.app/tool/grok) | 203,846,050 | -0.8% | Freemium | Features real-time X social data integration, but is less cost-effective for dedicated developer coding workflows. | [.md](https://openaitools.app/tool/grok.md) |
| 5 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) |
| 6 | [Qwen 4 (Alibaba Qwen4)](https://openaitools.app/tool/qwen-4) | 35,101,353 | -6.2% | Freemium | Provides comparable open-weight foundation models and multilingual performance, but requires self-hosting or third-party inference setup. | [.md](https://openaitools.app/tool/qwen-4.md) |
| 7 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 8 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Excels at ultra-long document analysis and research, but lacks the same level of open-weight developer community support. | [.md](https://openaitools.app/tool/kimi-chat.md) |
| 9 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power. | [.md](https://openaitools.app/tool/ollama.md) |
| 10 | [Syft Analytics](https://openaitools.app/tool/syft-assist-ai) | 1,105,531 | +16.2% | Freemium, Free Trial, Paid | AI-powered financial reporting, dashboards and forecasting for accountants and finance teams | [.md](https://openaitools.app/tool/syft-assist-ai.md) |

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Source: https://openaitools.app/compare/deepseek-vs-pump

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